This release contains the complete Carlo Oncology Suite: a five‑document collection designed to introduce, formalise, implement, and contextualise deterministic models of tumour growth, treatment response, resistance dynamics, and drug behaviour. The suite is structured for clarity and responsible use. It includes: The Mathematical Oncology Primer — a readable introduction to tumour biology, growth models, treatment dynamics, resistance, optimisation, and uncertainty. Mathematical Appendix and Model Library — formal equations, derivations, stability analyses, and extended models for deterministic oncology modelling. Carlo Oncology Engine Specification — a full technical definition of the deterministic browser‑native engine, including data structures, model functions, simulation loop, visualisation hooks, and extension rules. Carlo Oncology Developer Handbook — practical guidance for running simulations, designing dose schedules, interpreting outputs, adding new models, and maintaining deterministic behaviour. Carlo Oncology Companion Notes — human reflections and grounding context for working with cancer models responsibly, emphasising clarity, humility, and ethical boundaries. The Carlo Oncology Suite is educational and exploratory. It is not medical advice, not a clinical tool, and not a proposed cure for cancer. All models are simplified representations intended to support learning, conceptual exploration, and deterministic engine development. This release is part of the broader Carlo ecosystem of clarity‑focused, deterministic, single‑file modelling tools. keywords: mathematical oncology deterministic modelling tumour dynamics tumour growth models logistic growth gompertz model von bertalanffy model exponential growth pharmacokinetics drug concentration modelling treatment response chemotherapy radiotherapy targeted therapy immunotherapy resistance modelling sensitive and resistant populations mutation flow models optimisation control theory dose scheduling deterministic engines browser-native modelling single-file engines reproducible simulations clarity-focused modelling educational modelling conceptual modelling tumour microenvironment modelling phase portraits dynamical systems stability analysis carrying capacity modelling tumour heterogeneity modelling deterministic seedspace modelling model library mathematical appendix oncology primer deterministic simulation loops pure functions no dependencies tumour treatment trade-offs toxicity modelling parameter uncertainty sensitivity analysis deterministic visualisation canvas-based modelling svg-based modelling tumour trajectory analysis resistance takeover modelling bolus dosing periodic dosing pulsed dosing ramp dosing deterministic pharmacokinetics tumour-drug interaction modelling immune interaction sketch spatial diffusion sketch deterministic modelling philosophy clarity minimalism transparency reproducibility ethical modelling responsible modelling non-clinical modelling educational oncology tools deterministic engine specification developer handbook conceptual companion notes modelling reflections modelling context deterministic research artefacts carlo ecosystem carlo oncology suite tumour modelling frameworks deterministic computational oncology deterministic browser engines tumour modelling education tumour modelling research tumour modelling tools tumour modelling clarity tumour modelling transparency tumour modelling reproducibility tumour modelling ethics tumour modelling philosophy deterministic cancer modelling deterministic tumour simulation deterministic treatment simulation deterministic resistance simulation deterministic drug simulation deterministic optimisation deterministic dose scheduling deterministic tumour dynamics deterministic modelling suite deterministic oncology suite deterministic modelling notes deterministic modelling companion deterministic modelling appendix deterministic modelling primer deterministic modelling specification deterministic modelling handbook Contact: For enquiries or research questions related to this work, email matthewcarlo.research@gmail.com
Matthew Arthur Carlo (Fri,) studied this question.